@article{6401, keywords = {animal studies, Brain damage, Hemorrhage, Medical journals, Scientific misconduct, Scientific publishing, Systematic reviews, Traumatic injury risk factors}, author = {René Aquarius and Merel van de Voort and Hieronymus D. Boogaarts and P. Manon Reesink and Kimberley E. Wever}, title = {High prevalence of articles with image-related problems in animal studies of subarachnoid hemorrhage and low rates of correction by publishers}, abstract = {Scientific progress relies on science’s capacity for self-correction. If erroneous articles remain unchallenged in the publication record, they can mislead future research and undermine evidence-based decision-making. All articles included in a systematic review of animal studies on early brain injury after subarachnoid hemorrhage were analyzed for image-related issues. We included 608 articles, of which 243 articles were identified as problematic (40.0%). Of the 243 problematic articles, 55 (22.6%) have been corrected, 7 (2.9%) have received an expression of concern, 5 (2.1%) were marked with the Taylor & Francis under investigation pop-up, and 19 (7.8%) were retracted. In 9 of the 55 corrected articles (16.4%), new problems were found after correction or not all issues were resolved in the correction. Most (n = 213, 87.7%) problematic articles had a corresponding author affiliated to an institute from China. Our results show that the self-correcting mechanisms in science have stalled in this field of research. Our findings provide insight in the prevalence of image-related issues and can help publishers to take appropriate action. We can only uphold science’s capacity for self-correction when problematic articles are actively identified by peers, and when publishers take swift and adequate action to repair the scientific record.}, year = {0}, journal = {PLOS Biology}, volume = {23}, pages = {e3003438}, month = {Oct 30, 2025}, issn = {1545-7885}, url = {https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003438}, doi = {10.1371/journal.pbio.3003438}, language = {en}, }